English

Wiener--Ito integral representation in vector valued Gaussian stationary random fields

Probability 2023-09-11 v2

Abstract

The subject of this work is the multivariate generalization of the theory of multiple Wiener--It\^o integrals. In the scalar valued case this theory was described in paper\cite{11}. Our proofs apply the technique of this work, but in the proof of some results new ideas were needed. The motivation for this study was a result in paper\cite{1} of Arcones where he formulated the multivariate version of a non-central limit theorem for non-linear functionals of Gaussian stationary random fields presented in paper\cite{6}. We found the proof in paper\cite{1} incomplete and wanted to give a full proof. We did it in paper\cite{13}, but in that proof we needed a detailed description of the properties of non-linear functionals of vector valued stationary Gaussian fields. Here we provide the foundation needed to carry out that proof. --More--(0%)

Keywords

Cite

@article{arxiv.1901.04084,
  title  = {Wiener--Ito integral representation in vector valued Gaussian stationary random fields},
  author = {Peter Major},
  journal= {arXiv preprint arXiv:1901.04084},
  year   = {2023}
}

Comments

article consisting of two parts. First part 90 pages, 3 pictures. Second part 40 pages

R2 v1 2026-06-23T07:10:22.133Z